"A server for file search, project analysis, and code refactoring on macOS" matching MCP servers:

macOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.

Enables AI agents to synthesize and play short summaries aloud while keeping full answers on screen, with queued speech and stop control using online natural voices or offline synthesis.

MCP server that lets AI agents drive VS Code as a coding tutor, highlighting ranges of code, narrating explanations aloud via TTS, and running scripted walkthroughs.

A local stdio MCP server that enables validated access to official ElevenLabs APIs with cost controls, local media storage, and audio export for Godot.

An MCP server that provides sentiment analysis functionality using TextBlob, allowing users to analyze text for polarity, subjectivity, and sentiment assessment through Cursor AI.

MCP server that brings ElevenLabs to Claude Code — text-to-speech, sound effects, music generation, voice cloning, speech-to-speech, transcription, and voice isolation. 8 tools for industry-leading AI audio.

Enables local, offline, CPU-only transcription of video/audio into timestamped SRT subtitles with Whisper, Chinese TTS dubbing (including multi-speaker dialogue), and synthesis of a new dubbed video in a single command. Supports dubbing silent videos, translating and re-voicing foreign-language videos, and batch-adding narration to short clips within AI workflows.

Enables agents to synthesize Chinese speech with Edge-TTS or offline Piper and generate engine-level timestamp SRT subtitles, including batch parallel synthesis and voice presets.

Enables ChatGPT to generate ElevenLabs speech from text, returning playable MP3 audio, with voice listing and preference management.

Enables creators to generate short-video voiceover scripts with platform-adapted hooks, key points, and closings, search a golden-quote library, split copy into subtitle lines with estimated timelines, get topic suggestions, and turn a topic into TTS audio plus SRT subtitles in one command. Runs fully locally and offline as part of a Chinese content-creation MCP suite.

Enables users to search Chinese poems by title, content, author, dynasty, or category; check recitations and dictation; generate appreciation text; create TTS recitations with subtitles; and produce calligraphy practice sheets.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Enables AI agents to speak using MacOS native text-to-speech, with support for blocking and non-blocking speech and a sequential queue.

A text-to-speech MCP server that enables AI assistants to speak using the VOICEVOX engine with support for multi-character conversations. It features queue management, low-latency streaming via FFplay, and cross-platform playback across Windows, macOS, and Linux.

MCP server for text-to-speech using macOS say command, enabling speech synthesis, audio file generation, and voice management.

Enables text-to-speech functionality on macOS using the say command, offering extensive control over speech parameters like voice, rate, volume, and pitch for a customizable auditory experience.

MCP server that exposes OpenClaw Gateway tools to Claude Code and other MCP clients, enabling messaging, session management, scheduling, node control, web search, memory search, and TTS.

Enables agents to speak text and read documents aloud on the user's computer, with tools for speaking, reading, stopping playback, and saving audio.

Enables text-to-speech conversion with smart language detection (using Google TTS for Chinese) and audio file playback with playback controls for Claude Desktop.

Windows-optimized MCP server for ElevenLabs text-to-speech and audio processing, with fixed file paths and Cursor IDE integration.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Exposes a single transcribe tool over streamable HTTP so containerised agents can send a media file name and receive text transcribed locally by MacWhisper on the host Mac's GPU, with token-gated access and no uploads or API keys. Callers place media in a configured directory, and the blocking call returns the finished transcript.

Local spoken notifications for Codex with TTS and always-on-top overlay.

Enables cloning a voice from a local audio or video file and generating shareable audio-reactive waveform MP4 videos of spoken text, with customizable palettes, photos, and layouts, all through natural language from MCP-aware agents.

Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.

A stdio MCP server that lets AI coding tools on a Mac speak text aloud through the local Speaklna text-to-speech app. It exposes four tools (speak, stop, status, voices) so agents can voice replies, halt playback, check state, and list available voices, but cannot import voices or change settings.

Enables agents to access OpenAI-compatible transcription, live ASR, text-to-speech, voice cloning, phoneme recognition, and server-side file staging through streamable HTTP MCP tools.

Enables AI agents to search, rank, and retrieve 330 synthesized sound effects, themes, and spoken lines, and to generate ready-to-paste playback code or whole-app sound kits through a zero-dependency stdio MCP interface.